Paper Citation Record · LEDGER

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery

As of 19 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2509.08032.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.08032 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:37:23.170657Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

verified exact1
verified fuzzy10
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ace6a61-c21a-4a27-a671-4b26bf07450c · outbound

This paper cites Language Models Represent Space and Time.

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery Language Models Represent Space and Time

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T21:37:20.895412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0145b295-7155-4390-84c3-2264b2663e88 · outbound

This paper cites Galactica: A large language model for science,.

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery Galactica: A large language model for science,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:37:25.489133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 67a59e6c-abb4-4c19-a6fb-3734f67dda72 · outbound

This paper cites Automated literature research and review-generation method based on large language models,.

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery Automated literature research and review-generation method based on large language models,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:37:25.336303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 811adfbd-1426-4e63-bceb-54f7f79fd8cd · outbound

This paper cites Researchagent: Iterative research idea generation over scientific literature with large language models,.

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery Researchagent: Iterative research idea generation over scientific literature with large language models,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:37:25.096474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a6c21378-a153-4af1-aca6-be64deb232d5 · outbound

This paper cites Autosurvey: Large language models can automatically write surveys,.

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery Autosurvey: Large language models can automatically write surveys,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:37:24.832938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 274a8805-8230-4e75-9480-6d61e4c557cc · outbound

This paper cites Large language models are zero shot hypothesis proposers,.

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery Large language models are zero shot hypothesis proposers,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:37:24.578162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b6147e81-5bba-4ad9-b6ab-9fe61aff78d1 · outbound

This paper cites Scipip: An llm-based scientific paper idea proposer,.

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery Scipip: An llm-based scientific paper idea proposer,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:37:24.334646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8caaca14-551f-4561-943b-9be569edd6c5 · outbound

This paper cites Litllm: A toolkit for scientific literature review,.

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery Litllm: A toolkit for scientific literature review,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:37:24.183614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 45f04cb8-7cf0-4e36-9b0c-20614798bf31 · outbound

This paper cites Cycleresearcher: Im- proving automated research via automated review,.

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery Cycleresearcher: Im- proving automated research via automated review,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:37:23.988492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4c3ab1b0-3d95-4724-b354-cf7d8c3ec687 · outbound

This paper cites Scilitllm: How to adapt llms for scientific literature understanding,.

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery Scilitllm: How to adapt llms for scientific literature understanding,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:37:23.733758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f5735be7-56cc-43b7-8cfa-c2bad23c8ae5 · outbound

This paper cites Distilling Reasoning Capabilities into Smaller Language Models.

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery Distilling Reasoning Capabilities into Smaller Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T21:37:22.374350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f8159f9-b1fc-4d16-b709-4ca6a7f00245 · outbound

This paper cites Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization.

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-04T21:37:23.360702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 25ce529a-fad7-4218-9af1-0a90828a2deb · outbound

This paper cites Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners.

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T21:37:22.576048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52a112c0-219f-44fd-aa1d-ab317d0f1af0 · outbound

This paper cites Mixtral of Experts.

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery Mixtral of Experts

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T21:37:22.701534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f138c58-4528-45ce-a7c3-3462a7f781ed · outbound

This paper cites FinGPT: Democratizing Internet-scale Data for Financial Large Language Models.

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery FinGPT: Democratizing Internet-scale Data for Financial Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T21:37:22.790608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28d6960f-e5f2-457f-a877-082312495006 · outbound

This paper cites Similarity estimation techniques from rounding algorithms,.

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery Similarity estimation techniques from rounding algorithms,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:37:23.545843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 60a5ba50-df0b-4ee1-9ceb-b69df9cf2379 · outbound

This paper cites Textbooks Are All You Need.

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery Textbooks Are All You Need

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T21:37:22.967493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd421750-e2d4-4161-86ff-1640931f675c · outbound

This paper cites Effective Long-Context Scaling of Foundation Models.

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery Effective Long-Context Scaling of Foundation Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T21:37:23.079381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d27ae38-6438-4701-b7bd-1ea3b94eb072 · outbound

This paper cites OpenChat: Advancing Open-source Language Models with Mixed-Quality Data.

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T21:37:23.170657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.